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reference:ft_connectivity_ppc [2018/08/23 14:43] (current)
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 +=====  FT_CONNECTIVITY_PPC =====
 +
 +Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_connectivity_ppc"​.
 +
 +<​html><​pre>​
 +  <a href=/​reference/​ft_connectivity_ppc><​font color=green>​FT_CONNECTIVITY_PPC</​font></​a>​ computes pairwise phase consistency or weighted pairwise phase
 +  consistency from a data-matrix containing a cross-spectral density. This implements
 +  the method described in Vinck M, van Wingerden M, Womelsdorf T, Fries P, Pennartz
 +  CM. The pairwise phase consistency:​ a bias-free measure of rhythmic neuronal
 +  synchronization. Neuroimage. 2010 May 15;​51(1):​112-22.
 + 
 +  Use as
 +    [c, v, n] = ft_connectivity_ppc(input,​ ...)
 + 
 +  The input data input should be organized as:
 +    Repetitions x Channel x Channel (x Frequency) (x Time)
 +  or
 +    Repetitions x Channelcombination (x Frequency) (x Time)
 + 
 +  The first dimension should contain repetitions and should not contain an average
 +  already. Also, it should not consist of leave-one-out averages.
 + 
 +  Additional optional input arguments come as key-value pairs:
 +    feedback ​ = '​none',​ '​text',​ '​textbar'​ type of feedback showing progress ​ of computation
 +    weighted ​ = 1 (or true) or 0 (or false), we compute unweighted ppc or
 +                weighted ppc, the weighting is according to the magnitude of
 +                the cross-spectrum
 + 
 +  The output c contains the ppc, v is a leave-one-out variance estimate which is only
 +  computed if dojack = 1,and n is the number of repetitions in the input data.
 + 
 +  See also <a href=/​reference/​ft_connectivityanalysis><​font color=green>​FT_CONNECTIVITYANALYSIS</​font></​a>​
 +</​pre></​html>​